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The Unequal World of Health Data

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  • Peter Byass

Abstract

Health data, poverty, and inequality exist in a complex global co-dependency, therefore making meaningful comparisons of health across widely different settings challenging. Less data exist on the health of the poor than of the rich, which in turn raises important questions as to how representative available data are in relation to populations that go uncounted. Alternative strategies are needed to fill in inequitable gaps in data. Poverty either in physical terms or in data does not justify the use of impoverished research methods or ethical standards. Reasonable, realistic, and contextually appropriate approaches to research are needed. [Plos Medicine, November 2009].

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  • Peter Byass, 2009. "The Unequal World of Health Data," Working Papers id:2303, eSocialSciences.
    • Handle: RePEc:ess:wpaper:id:2303
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    File URL: http://www.eSocialSciences.com/data/articles/Document124112009260.9336969.pdf
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    References listed on IDEAS

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    1. Neal S Young, 2008. "Why Current Publication May Distort Science," Working Papers id:1757, eSocialSciences.
    2. Neal S Young & John P A Ioannidis & Omar Al-Ubaydli, 2008. "Why Current Publication Practices May Distort Science," PLOS Medicine, Public Library of Science, vol. 5(10), pages 1-5, October.
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    Cited by:

    1. Berhe Weldearegawi & Mark Spigt & Yemane Berhane & GeertJan Dinant, 2014. "Mortality Level and Predictors in a Rural Ethiopian Population: Community Based Longitudinal Study," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-7, March.

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    More about this item

    Keywords

    poverty; birth; verbal autopsy; VA; hdemographic parameters; climate change; health data; inequality; global; poor; rich; population; research methods; ethical standards;
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